Publications
This list of Upper Midwest Water Science Center publications spans from 1899 to present. It includes both official USGS publications and journal articles authored by our scientists. To access the full, searchable catalog of USGS publications, please visit the USGS Publications Warehouse.
Filter Total Items: 2358
Hydroclimatic and land-use factors affecting peak streamflow in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin Hydroclimatic and land-use factors affecting peak streamflow in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin
Flood-frequency analysis provides the basis for flood risk estimates used by water-resource managers in land-use planning, and it informs the design of essential infrastructure such as bridges and culverts. Federal guidelines for flood-frequency analysis do not offer guidance on addressing changing climate and land-use conditions when estimating floods. However, failing to consider...
Authors
Karen R. Ryberg, Mackenzie K. Marti, Nancy A. Barth, Thomas M. Over, Sara B. Levin, Hannah Lee Podzorski, Steven K. Sando, Tara Williams-Sether, Padraic S. O’Shea, Katherine J. Chase
Regenerable membrane sensors for ultrasensitive nanoplastic quantification enabled by a data-driven Raman spectral processing algorithm Regenerable membrane sensors for ultrasensitive nanoplastic quantification enabled by a data-driven Raman spectral processing algorithm
The detection of nanoplastics (NPs) in complex natural water systems is hindered by matrix interferences and limitations in current analytical techniques. This study presents Pre_seg, a Raman spectral processing algorithm integrated with regenerable anodic aluminum oxide (AAO) membrane sensors, for ultrasensitive, rapid, and quantitative NP detection at the single-particle level. The AAO...
Authors
Ziyan Wu, Sarah E. Janssen, Michael Tate, Mohan Qin, Haoran Wei
Prevalence and potential for biological effects of several chemicals of interest in Lake Superior tributaries Prevalence and potential for biological effects of several chemicals of interest in Lake Superior tributaries
Lake Superior is typically assumed to have excellent water quality, but its tributaries have been understudied for contaminants relative to other Great Lakes. This study monitored polycyclic aromatic hydrocarbons (PAHs), alkylphenols (AP) and alkylphenol ethoxylates (APEs), bisphenols, and neonicotinoid pesticides in 18 sites on 17 United States tributaries to Lake Superior in 2022...
Authors
Sophia LaFond-Hudson, Matthew A. Pronschinske, Sarah M. Elliott, Steven R. Corsi
Beach nourishment response and recent morphological evolution of Minnesota Point, Lake Superior Beach nourishment response and recent morphological evolution of Minnesota Point, Lake Superior
Beach nourishments are a popular nature-based alternative to armoring for shoreline erosion mitigation, but nourishments have been criticized due to their environmental impacts and uncertain sustainability. Monitoring is often nonexistent or insufficient to constrain nourishment longevity and inform the renourishment interval required to maintain shoreline protection. This study uses a...
Authors
Collin J. Roland, Joel T. Groten, J. William Lund, Jenny L. Hanson
Preparation and analysis methods for fish tissue collected from Lake Koocanusa, Montana Preparation and analysis methods for fish tissue collected from Lake Koocanusa, Montana
Lake Koocanusa, a reservoir, receives mine wastes from metallurgical coal mines in the Elk River Valley of British Columbia, Canada. Selenium and other elements discharged by the mines into the waters of the United States can pose unknown risks to aquatic life. The U.S. Geological Survey Wyoming-Montana Water Science Center can collaborate with Montana Fish, Wildlife and Parks and other...
Authors
Travis S. Schmidt, Ashley Morgan Bussell, Molly A. Moloney, James L. Dunnigan, Trevor M. Selch, Jessica E. Brandt, Craig A. Stricker, A. Robin Stewart, Veronika A. Kocen, Danielle M. Cleveland, Vicki S. Blazer, Sarah E. Janssen, Jacob M. Ogorek, Meghan Dunn, Theresa L. McBride, Katie B. Adams, Benjamin P. Colman, Matt Young, Jennie Christensen
Revealing organofluorine contamination in effluents and surface waters with complementary analytical approaches: Fluorine-19 nuclear magnetic resonance spectroscopy (19F-NMR) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) Revealing organofluorine contamination in effluents and surface waters with complementary analytical approaches: Fluorine-19 nuclear magnetic resonance spectroscopy (19F-NMR) and liquid chromatography-tandem mass spectrometry (LC-MS/MS)
Fluorinated organic contaminants, including per- and polyfluoroalkyl substances (PFASs) and fluorinated pesticides and pharmaceuticals (FPPs), pose a persistent threat to environmental health. Widely used liquid chromatography-tandem mass spectrometry (LC-MS/MS) methods fail to capture large fractions of total organofluorine in environmental samples, confounding the assessment of...
Authors
K.A. Faber, W.C.K Pomerantz, James L. Gray, Laura E. Hubbard, Dana W. Kolpin, W.A. Arnold
Groundwater surveillance of swine pathogens from private wells supplying swine farms in Iowa Groundwater surveillance of swine pathogens from private wells supplying swine farms in Iowa
Biosecurity practices are essential for maintaining pig health and productivity. Despite these measures, pathogen spread still occurs. Water is one of the largest daily inputs on swine farms by volume and is not routinely tested or disinfected before it is consumed by the animals [1-3], making it a poorly understood biosecurity risk. Groundwater from privately-owned wells is a common...
Authors
Gabrielle Doughan, Becca Walthart, Michele Moncrief, Elise Snezek, Kristin Skoland, Aaron D. Firnstahl, Phillip Gauger, Justin Brown, J. L. Bonnema, Mark A. Borchardt, Joe Heffron, Joel P. Stokdyk, Tucker R. Burch, Locke Karriker
Karhunen–Loève deep learning method for surrogate modeling and approximate Bayesian parameter estimation Karhunen–Loève deep learning method for surrogate modeling and approximate Bayesian parameter estimation
We evaluate the performance of the Karhunen–Loève Deep Neural Network (KL-DNN) framework for surrogate modeling and approximate Bayesian parameter estimation in partial differential equation models. In the surrogate model, the Karhunen–Loève (KL) expansions are used for the dimensionality reduction of the number of unknown parameters and variables, and a deep neural network is employed...
Authors
Yuanzhe Wang, Yifei Zong, James Lucian McCreight, Joseph D. Hughes, Michael N. Fienen, Alexandre Tartakovsky
Biological implications for contaminants of emerging concern in the Great Lakes–Upper St Lawrence River drainage: An effect-based ecological hazard assessment in fish Biological implications for contaminants of emerging concern in the Great Lakes–Upper St Lawrence River drainage: An effect-based ecological hazard assessment in fish
Contaminants of emerging concern (CECs) are released widely and continuously into the Great Lakes Basin–Upper St Lawrence River study area, with many detected in surface water at concentrations known to adversely affect fish. We applied a recent ecological hazard assessment methodology to identify the biological significance of a database of 21,441 surface water CEC concentrations...
Authors
Daniel J. Gefell, Amber R Bellamy, Richard L. Kiesling, Sarah M. Elliott, Stephanie L. Hummel
U.S. Geological Survey science strategy to address highly pathogenic avian influenza and its effects on wildlife health 2025–29 U.S. Geological Survey science strategy to address highly pathogenic avian influenza and its effects on wildlife health 2025–29
Authors
Andrew M. Ramey, Diann J. Prosser, Laura E. Hubbard, Guelaguetza Vazquez-Meves, Amy George, M. Camille Hopkins
Water quality-based risk assessment for zebra mussel establishment: A case study of single- and multiple-factor methods in northern temperate lakes Water quality-based risk assessment for zebra mussel establishment: A case study of single- and multiple-factor methods in northern temperate lakes
Most previous research has used an individual water quality parameter, such as calcium, to predict likelihood of zebra mussel establishment in lakes; we employed two multiple-factor methods, our own susceptibility index for zebra mussels in lakes (SIZL) and aragonite saturation state, to evaluate the risk of mussel establishment. Thirty sites in Voyageurs National Park (VNP) were sampled...
Authors
Victoria Christensen, Leon R. Katona, Hailey Elizabeth Trompeter, Ryan P. Maki, James C. Smith, Daniel E. Sandborn
Ecological factors decouple Great Lakes fish mercury concentrations trends decadal declines in mercury emissions Ecological factors decouple Great Lakes fish mercury concentrations trends decadal declines in mercury emissions
Atmospheric mercury (Hg) deposition has been declining in North America but remains the dominant delivery mechanism to the Great Lakes. The Lakes are highly efficient at bioaccumulating methylmercury, making the fish excellent sentinels for tracking shifts in atmospheric Hg deposition. Invasive mussels have altered biogeochemical processes, prey populations and fish dietary strategies
Authors
Ryan F. Lepak, Joel C. Hoffman, Sarah E. Janssen, Michael T. Tate, Morgann B Gordon, Michael B. Mahon, Samantha L. Rumschlag, Christopher T. Yarnes, Brian A. Lennel, David P. Krabbenhoft, Jacob M. Ogorek, James P. Hurley